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Human Error in Aviation - Annotated Bibliography Example

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The authors analyze different trends by investigating both traditional and scientific models of human error. Various trends describe various…
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Human Error in Aviation
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The source is a journal, which means it is peer-reviewed and thus credible. In addition, the study is based on analysis of post-accident data, and not assumptions, which makes it reliable and credible. Moreover, the chances of biases associated with personal view of the authors are limited since the results are based on actual data. In addition, the study is relevant in the study of the influence of human error on aviation accidents. Regarding authors’ credentials, Douglas is an associate professor who has undertaken several researches on human factors and flight safety.

On the other hand, Dr. Scott Shappel is a Department Chair of Human Factors and Systems. Furthermore, Shappel is an author of several publications and has participated in various researches related to human factors and aviation. Therefore, given their backgrounds on human factors in aviation accidents, the information presented in this article is credible and reliable. This article is helpful in my research because it analyzes the main ideas of human errors that contribute to aircraft accidents.

The information from this source helps in the description, classification, and understanding of the concept of human errors. It also relates to the rest of my chosen bibliography in its main ideas and focus. The study analyzes error classification methods that explain the causes of human error. The author analyzes the errors made by reviewing error assumptions and proposing alternative solutions. The purpose of classifying human errors is to help people concerned with Human factors in aviation apply practical explanations to their accounts of human errors.

The author argues that the major reasons behind his classification of errors are to identify a simple error principle that goes beyond superficial errors. The author’s main points revolve around the deeper understanding of classification of errors and the ways in which analysts

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